Guza Endi, Gao Lingling, Lippke Sonia
Faculty of Psychology & Speech Therapy, University of Valencia, Valencia, Spain.
Department of Psychology & Methods, Focus Area Diversity, Constructor University Bremen (Previouly known as Jacobs University Bremen), Bremen, Germany.
Eur J Psychol. 2022 Nov 30;18(4):357-368. doi: 10.5964/ejop.5343. eCollection 2022 Nov.
This study aimed to examine the relationship between internet use (constructive and health-related internet behavior, health app usages), physical activity self-efficacy, and subjective well-being (quality of life, health satisfaction, sleep satisfaction). Participants (N = 758) were recruited to participate in an online survey. One-way MANOVA and multiple regression analyses were used to examine the hypotheses. Results showed that internet use was negatively associated with sleep satisfaction, r(738) = -.127, p < .001. Individuals who use health-related apps for movement/fitness, t(689.900) = -3.354, p < .001, nutrition, t(300.075) = -2.434, p = .016, information for self-diagnosis, t(199.768) = -2.321, p = .021, and contact with doctors, t(90.630) = -2.035, p = .045, have higher PA self-efficacy than those who do not. Overall, there was a statistically significant difference in subjective well-being based on a participants' constructive internet use, F(28, 2590) = 1.97, p = .002, with quality of life (p = .006) and sleep satisfaction (p = .025) being statistically significant components of subjective well-being. This paper discusses the important theoretical and practical implications regarding the development of health-related apps and online well-being interventions which are significantly relevant to the well-being literature.
本研究旨在探讨互联网使用（建设性和与健康相关的互联网行为、健康应用程序的使用情况）、身体活动自我效能感与主观幸福感（生活质量、健康满意度、睡眠满意度）之间的关系。招募了参与者（N = 758）参与在线调查。采用单因素多元方差分析和多元回归分析来检验假设。结果表明，互联网使用与睡眠满意度呈负相关，r(738) = -.127，p <.001。使用与运动/健身相关的健康应用程序的个体，t(689.900) = -3.354，p <.001；使用营养相关健康应用程序的个体，t(300.075) = -2.434，p =.016；使用自我诊断信息相关健康应用程序的个体，t(199.768) = -2.321，p =.021；使用与医生联系相关健康应用程序的个体，t(90.630) = -2.035，p =.045，他们的身体活动自我效能感高于未使用这些应用程序的个体。总体而言，基于参与者的建设性互联网使用情况，主观幸福感存在统计学上的显著差异，F(28, (2590) = 1.97，p =.002，其中生活质量（p =.006）和睡眠满意度（p =.025）是主观幸福感的统计学显著组成部分。本文讨论了与健康相关的应用程序开发和在线幸福感干预措施的重要理论和实践意义这些与幸福感文献密切相关。
